Top Downloaded Article on Wiley

Our paper has been chosen as one of the most downloaded article on Wiley during its first 12 months publication in the International Journal of RF and Microwave Computer-aided Engineering.First published: 27 July 2020Citations on Google Scholar: 25 A review on the design and optimization of antennas using machine learning algorithms and techniquesDownload

Machine Learning-Aided Design of Dielectric-Filled Slotted Waveguide Antennas With Specified Sidelobe Levels

This paper presents the use of machine learning (ML) to facilitate the design of dielectric-filled Slotted Waveguide Antennas (SWAs) with specified sidelobe level ratios (SLR). Conventional design methods for air-filled SWAs require the simultaneous solving of complex equations to deduce the antenna’s design parameters, which typically requires further manual simulation-based optimization to reach the desired...